http://www.bibsonomy.org/burst/user/nepomuk/analysisBibSonomy BuRST Feed for /user/nepomuk/analysis2008-10-12T19:32:05+02:00http://www.bibsonomy.org/bibtex/276d81124951ae39060a8bc98f4883435/nepomuknepomuk2008-06-20T14:42:46+02:00information search engine social logsonomy retrieval l3s from:jaeschke analysis wp5 network <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, </em><em>Seite157--166. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Fri Jun 20 14:42:46 CEST 2008New York, NY, USAHT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia157--166Logsonomy - Social Information Retrieval with Logdata2008information search engine social logsonomy retrieval l3s from:jaeschke analysis wp5 network Social bookmarking systems constitute an established part of the Web 2.0. In such systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Today’s search engines represent the gateway to retrieve information from the World Wide Web. Short queries typically consisting of two to three words describe a user’s information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance. This clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. The resulting network structure, which we will term logsonomy is very similar to the one of folksonomies. In order to find out about its properties, we analyze the topological characteristics of the tripartite hypergraph of queries, users and bookmarks on a large snapshot of del.icio.us and on query logs of two large search engines. All of the three datasets show small world properties. The tagging behavior of users, which is explained by preferential attachment of the tags in social bookmark systems, is reflected in the distribution of single query words in search engines. We can conclude that the clicking behaviour of search engine users based on the displayed search results and the tagging behaviour of social bookmarking users is driven by similar dynamics.ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Discovering shared conceptualizations in folksonomieshttp://www.bibsonomy.org/bibtex/263901930c137df0c2dad84075c564b14/nepomuknepomuk2008-04-15T11:58:42+02:002008 formal concept tagging myown folksonomy l3s from:jaeschke analysis wp5 <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Bernhard <a href="http://www.bibsonomy.org/author/Ganter">Ganter</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Web Semantics: Science, Services and Agents on the World Wide Web</em><em>6(1):38--53</em><em>feb2008. </em>Tue Apr 15 11:58:42 CEST 2008Semantic Web and Web 2.0Web Semantics: Science, Services and Agents on the World Wide Webfeb138--53Discovering Shared Conceptualizations in Folksonomies620082008 formal concept tagging myown folksonomy l3s from:jaeschke analysis wp5 Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.http://www.bibsonomy.org/bibtex/22cbbe0790e81d5af7927ba51098fa126/nepomuknepomuk2007-06-13T16:58:36+02:00bookmarking 2007 trias social bibsonomy myown folksonomy iccs from:jaeschke analysis fca <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 15th International Conference on Conceptual Structures, </em><em>Sheffield, England, </em><em>July2007. </em>Wed Jun 13 16:58:36 CEST 2007Sheffield, EnglandProceedings of the 15th International Conference on Conceptual StructuresJulyAnalysis of the Publication Sharing Behaviour in {BibSonomy}2007bookmarking 2007 trias social bibsonomy myown folksonomy iccs from:jaeschke analysis fca BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/nepomuknepomuk2007-03-22T18:29:28+01:002006 nepomuk semantic from:pchirita myown folksonomy folksonomies l3s analysis wp5 network <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>Seite261--270. </em><em>Heidelberg, </em><em>Springer, </em><em>July2006. </em>Thu Mar 22 18:29:28 CET 2007HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 nepomuk semantic from:pchirita myown folksonomy folksonomies l3s analysis wp5 network Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. These systems provide currently relatively few structure. We discuss in this paper, how association rule mining can be adopted to analyze and structure folksonomies, and how the results can be used for ontology learning and supporting emergent semantics. We demonstrate our approach on a large scale dataset stemming from an online system.Collocated with the 4th International Semantic Web Conferencehttp://www.bibsonomy.org/bibtex/2c44763991d44182c53606a2c93054f26/nepomuknepomuk2007-03-22T18:29:28+01:00workshop 2005 semantic myown analysis l3s network iswc sna nepomuk proceedings from:pchirita wp5 semna <span style="color:#555555;">Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und Bettina <a href="http://www.bibsonomy.org/author/Hoser">Hoser</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Harith <a href="http://www.bibsonomy.org/author/Alani">Alani</a> (eds.). </span><em>Aachen, </em><em>CEUR Proceedings, </em>(<em>2005</em>)Thu Mar 22 18:29:28 CET 2007AachenProceedings of the First Workshop on Semantic Network Analysis 2005workshop 2005 semantic myown analysis l3s network iswc sna nepomuk proceedings from:pchirita wp5 semna